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The source code is available at github.com/alexandrehsd/cv.

Last updated on 2020-10-03.

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Alexandre Henrique S. Dias

I’m a Computer Engineer and Data Scientist. I enjoy spending my free time studying statistics, programming and reading Data Science-related articles. At work, I play my role mostly in building visualizations to clients and contributing to the company’s R package.

Industry Experience

Data Scientist

Looqbox

São Paulo, SP

Present - 2019

  • Work primarily done in R, Python, and SQL to develop graphics visualizations.
  • I’m a contributor of the Looqbox R Package used to build R objects and data structures for the Looqbox Application.

Education

Advanced Machine Learning Specialization

Coursera - National Research University Higher School of Economics

N/A

Present - 2020

  • This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods.

MITx Micromaster Program in Statistics and Data Science

EdX - MITx

N/A

Present - 2020

  • The program covers the fundamentals of data science, statistics, and machine learning.

B.S., Computer Engineering

Federal University of Rio Grande Do Norte - UFRN

Natal, RN

2019 - 2018

  • Member of the Modeling and Scientific Data Analysis team.

B.S., Sciences & Technology

Federal University of Rio Grande Do Norte

Natal, RN

2017 - 2015

  • Linear Algebra and Analytical Geometry assistant teacher.
  • Calculus II assistant teacher.

Research Experience

Undergraduate Researcher

Digital Metropolis Institute

UFRN

2019 - 2018

  • Developed a traffic monitoring system using image recognition.

Undergraduate Researcher

Department of Informatics and Applied Mathematics

UFRN

2017 - 2016

  • Developed an interactive theorem prover based on Linear Logical using the Maude programming language.


Selected Data Science Writing

I am most interested in readings about data science, statistics, and AI.

A mathematical derivation of the Law of Total Variance

The Startup, Medium

N/A

2020

  • O que é e como usar a lei da variância total.

Clustering with K-means: simple yet powerful

Medium

N/A

2019

  • Explain what is Cluster Analysis, and how the K-means algorithm work providing its pros and cons.

An introduction to Linear Regression

Medium

N/A

2019

  • Explain all assumptions behind Linear Regression models, how to measure their performance, and how to implement a model in Python.

Academic Publications

Paper published in the 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT). Naples, Italy.

Performance Evaluation of an Edge OBD-II Device for Industry 4.0

Institute of Electrical and Electronics Engineers - IEEE

N/A

2019

  • Authored with Ivanovitch Silva, Paolo Ferrari, Diego Silva, Marianne Silva, and Gabriel Signoretti.

Certificates & Courses

DataCamp completed tracks

DataCamp

N/A

2019 - 2018

  • Data Scientist with Python.
  • Data Analyst with Python.
  • Data Manipulation with Python.
  • Machine Learning with Python.
  • Importing & Cleaning Data with Python.
  • Python Programming.
  • Python Programmer.

Talks

Understand what is Data Science and how this field is going to color the 21st Century (translated)

Arduino Day 2019: A worldwide celebration of Arduino

UFRN

Mar. 2019

  • Invited talk about what is data science and what it takes to become a data scientist.

Predicting Pulsar Stars: How Data Science helps us understand the universe (translated)

II seminar on Data Science Applications

UFRN

Dec. 2018

  • Talk about the importance of detecting Pulsar Stars, and how we can implement a simple neural network to beat XGBoost.